A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were Day: Number sold: Day: Number sold: 1 37 10 54 2 MSE 40 45 3423 4435 11 52 12 53 Click here for the Excel Data File 6 49 13 14 15 49 53 57 5 48 7 47 8 46 9 50 a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial forecast of 42 for Day 8, an initial trend estimate of 2, and a = B = .3, develop demand forecasts for Days 9 through 16. Then compute the resultant MSE using the error values from Days 8 through 15. (Round your intermediate period-by-period forecast and error values to 3 decimal places. Round your final MSE answer to 3 decimal places.)

A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were Click here for the Excel Data File a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial forecast of 42 for Day 8 , an initial trend estimate of 2 , and ==3, develop demand forecasts for Days 9 through 16. Then compute the resultant MSE using the error values from Days 8 through 15. (Round your intermediate period-by-period forecast and error values to 3 decimal places. Round your final MSE answer to 3 decimal places.)